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Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open source statistics and programming language R has emerged as a critical component of any researcher's toolbox. Indeed, R is rapidly becoming the standard software for analyses, graphical presentations, andprogramming in the biological sciences. This book provides a functional introduction for biologists new to R. While te.
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Subjects
Biology, data processing, Programming languages (electronic computers), Computer programming, Mathematical statistics, Data processing, R (Computer program language), Bioinformatics, Programming languages (Electronic computers), MATHEMATICS, Probability & Statistics, General, Biology, Mathematics, Physical Sciences & Mathematics, Health & Biological Sciences, Mathematical Statistics, Biology - General, Medical Informatics, Methods, Programming Languages, Biostatistics, Science, Life sciences, Medical informatics--methods, Programming languages, R (computer program language), Biology--data processing, Mathematical statistics--data processing, Qa76.73.r3 b43 2012, 570.2855133Showing 3 featured editions. View all 3 editions?
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Getting Started with R: An Introduction for Biologists
Mar 26, 2017, Oxford University Press
paperback
0198787847 9780198787846
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Getting started with R: an introduction for biologists
2012, Oxford Univ. Press
in English
0191624144 9780191624148
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Includes bibliographical references and index.
English.
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